The focus thus shifts from a concern with decontextualised and universalised essence to contextualised and contingent complex wholes. This is where complexity theory seeks the levers of history. The paper posits
Social learning theory explains complex behavior by acknowledging cognitive factors and the role they play in influencing a person’s decision to imitate behavior. One of the primary strengths of social learning theory is its flexibility in explaining the differences in a person’s behavior or ...
Learning is commonly defined as a process that brings together cognitive, emotional, and environmental influences and experiences for acquiring, enhancing, or making changes in one's knowledge, skills, values, and world views (Illeris, 2000; Ormorod, 1995). Learning as a process focuses on wha...
Time-intensive.The time required to ensure the learning is done properly through this method can limit its usefulness and be intensive on computing resources. As the training environment grows more complex, so do the demands on time and compute resources. Hard to interpret.Complex RL algorithms wi...
This is more effective than listening passively to facts and figures, hoping to take them in. Rich context facilitates learning: Students are immersed in complex tasks and activities from the get-go, enabling them to develop problem-solving and higher reasoning skills. All learners are ...
What is deep reinforcement learning? What are the main ideas of reinforcement in education? Which of the following aspects of learning are thought to be important in language? a) We seem to learn language easily despite very complex input. b) We learn language from a very early age. c) Al...
Data visualization is the graphical representation of information. It uses visual elements like charts to provide an accessible way to see and understand data.
Importance of human-interpretable machine learning Explaining the internal workings of a specific ML model can be challenging, especially when the model is complex. As machine learning evolves, the importance of explainable, transparent models will only grow, particularly in industries with heavy complian...
The tone here is intimidating for developing thinkers—or should be, anyway. It’s a tone that is simultaneously intellectual, collaborative, and defiant. It says, “I’ve come to understand this complex thing worthy of study—which probably represents a more significant achievement than anything ...
What Is Generative AI (GenAI)? Generative AI (GAI) is the name given to a subset of AI machine learning technologies that have recently developed the ability to rapidly create content in response to text prompts, which can range from short and simple to very long and complex. Different gener...